A novel NIR-image segmentation method for the precise estimation of above-ground biomass in rice crops

Traditional methods to measure spatio-temporal variations in biomass rely on a labor-intensive destructive sampling of the crop. In this paper, we present a high-throughput phenotyping approach for the estimation of Above-Ground Biomass Dynamics (AGBD) using an unmanned aerial system. Multispectral...

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Detalles Bibliográficos
Autores principales: Colorado, Julian D., Calderon, Francisco, Mendez, Diego, Petro, Eliel, Rojas, Juan P., Correa, Edgar S., Mondragon, Ivan F., Rebolledo, Maria Camila, Jaramillo-Botero, Andres
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7535130/
https://www.ncbi.nlm.nih.gov/pubmed/33017406
http://dx.doi.org/10.1371/journal.pone.0239591

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7535130/
https://www.ncbi.nlm.nih.gov/pubmed/33017406
http://dx.doi.org/10.1371/journal.pone.0239591

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